Securing Cloud AI Solutions with Defender for Cloud and Entra

As organizations rapidly adopt cloud-based artificial intelligence, securing these advanced workloads becomes a critical priority. Protecting AI models, APIs, and sensitive training data requires a modern approach to cloud posture and identity management. This course equips you with the foundational knowledge to secure cloud AI integrations using Defender for Cloud and Entra. You will transition from understanding basic security principles to implementing zero-trust identity policies and threat protection specifically tailored for AI systems. What you will learn: Understand foundational security concepts for cloud-hosted AI models and services; Configure identity and access management for AI workloads using Entra; Monitor and protect AI infrastructure from emerging threats with Defender for Cloud; Apply zero-trust principles to secure API endpoints and AI training data; Analyze common AI security risks, including data leakage and prompt injection vulnerabilities. You will start by exploring essential terminology and foundational security frameworks before moving on to step-by-step written guides on identity configuration and threat monitoring. Through clear explanations and practical policy examples, you will learn how to design a resilient security posture for any cloud AI deployment. Designed for beginners in cloud security, IT administrators, and developers looking to safeguard AI applications, this course requires no prior advanced security experience. Start building a secure foundation for your cloud AI projects today.